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Fuzzy multiattribute consumer choice among health insurance options

    Cengiz Kahraman Affiliation
    ; Asli Suder Affiliation
    ; Ebru Turanoglu Bekar Affiliation

Abstract

People buy insurance to protect themselves against possible financial loss in the future. Health insurance provides protection against the possibility of financial loss due to health care use. A selection among health insurance options is a multiattribute decision making problem including many conflicting criteria. This problem can be better solved using the fuzzy set theory since human decision making is generally based on vague and linguistic data. We propose an integrated methodology composed of fuzzy AHP and fuzzy TOPSIS to select the best health insurance option. The considered option types, Health Savings Account (HSA), Flexible Spending Accounts (FSA), and Health Reimbursement Arrangement (HRA) are evaluated using eight different criteria under fuzziness. A sensitivity analysis is also realized.


First published online: 18 Jun 2015

Keyword : health insurance, options, fuzzy sets, AHP, TOPSIS, multiattribute

How to Cite
Kahraman, C., Suder, A., & Turanoglu Bekar, E. (2016). Fuzzy multiattribute consumer choice among health insurance options. Technological and Economic Development of Economy, 22(1), 1-20. https://doi.org/10.3846/20294913.2014.984252
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Jan 19, 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License.